Supports custom data set sampling quantity

data/README.md

@@ -27,8 +27,9 @@ If you are using a custom dataset, please provide your dataset definition in the
     "assistant_tag": "the value of the role_tag represents the assistant. (default: gpt)",
     "observation_tag": "the value of the role_tag represents the tool results. (default: observation)",
     "function_tag": "the value of the role_tag represents the function call. (default: function_call)",
-    "system_tag": "the value of the role_tag represents the system prompt. (default: system, can override system column)"
-  }
+    "system_tag": "the value of the role_tag represents the system prompt. (default: system, can override system column)",
+  },
+  "sample_num": "the number of samples from this dataset can be greater than the total amount of the dataset. (default: None)"
 }
 ```
 

data/README_zh.md

@@ -28,7 +28,8 @@
     "observation_tag": "消息中代表工具返回结果的 role_tag（默认：observation）",
     "function_tag": "消息中代表工具调用的 role_tag（默认：function_call）",
     "system_tag": "消息中代表系统提示的 role_tag（默认：system，会覆盖 system 列）"
-  }
+  },
+  "sample_num": "从该数据集采样的数量，可大于该数据集总量（默认：None）"
 }
 ```
 

src/llmtuner/data/loader.py

@@ -1,5 +1,7 @@
 import inspect
 import os
+import numpy as np
+from numpy.random import RandomState
 from typing import TYPE_CHECKING, Literal, Union
 
 from datasets import load_dataset, load_from_disk
@@ -108,6 +110,17 @@ def load_single_dataset(
         num_samples = min(data_args.max_samples, len(dataset))
         dataset = dataset.select(range(num_samples))
 
+    if dataset_attr.sample_num:
+        dataset_sample_num = dataset_attr.sample_num
+        logger.info(f"从 {dataset_attr.dataset_name} 采样 {dataset_sample_num} 条训练样本")
+        random_state = RandomState(42)
+        idx = random_state.permutation(len(dataset))[:dataset_sample_num]
+        dataset_sample_num -= len(idx)
+        if dataset_sample_num > 0:
+            idx2 = random_state.choice(len(dataset), dataset_sample_num)
+            idx = np.concatenate([idx, idx2], axis=0)
+        dataset = dataset.select(idx)
+
     return align_dataset(dataset, dataset_attr, data_args)
 
 

src/llmtuner/data/parser.py

@@ -44,6 +44,7 @@ class DatasetAttr:
     observation_tag: Optional[str] = "observation"
     function_tag: Optional[str] = "function_call"
     system_tag: Optional[str] = "system"
+    sample_num: Optional[int] = None
 
     def __repr__(self) -> str:
         return self.dataset_name
@@ -90,7 +91,8 @@ def get_dataset_list(data_args: "DataArguments") -> List["DatasetAttr"]:
         dataset_attr.set_attr("folder", dataset_info[name])
         dataset_attr.set_attr("ranking", dataset_info[name], default=False)
         dataset_attr.set_attr("formatting", dataset_info[name], default="alpaca")
-
+        dataset_attr.set_attr("sample_num", dataset_info[name])
+        
         if "columns" in dataset_info[name]:
             column_names = ["system"]
             if dataset_attr.formatting == "alpaca":